The context aware soccer manager is basically a browser game including mobile extensions mixing real world and web experiences.
Whereas the regular league takes place in the browser, training a team demands the user to perform real world actions with his mobile phone.
The game was developed as a project of the University of Applied Sciences Bremen and was rewarded with the first place at the Bernd-Artin Wessels Innovationprice 07.
Agenda Item #3: So here is the thing
We are going to track the emotions of people while watching several movies. The basic emotions will be color coded and this information will result in a color bar which is representing the movie.
Now, if you like to watch a movie you just describe how it should like to be and the system can make suggestions based on your description. It's like cooking and the decision about which ingredients will make the meal.
Here are some examples:
Sure, this is just a finger excercise but can be seen from a wide perspective. Bon Appetite :-)
Agenda Item #2: How to map X on Y (and why)
Movies generally lack, as any other media does too, from classification issues. Categorizing media helps to build up feature groups or to browse it, for example. The problem of genre classification will jump right into your face if you spend some time drifting around in a video store wondering what makes this or that film to a action flick or to a drama.
Furthermore our motivation was to find an easy way of selecting a film you might like to see based on contextual parameters. Think of the situation of people asking the videostore guy for advice. Usually they are looking for a film which is having this or that.
In this case the parameters are limited to: Emotions or the question of "How do you want to be entertained?"
Mapping is a general issue in the information landscape. How to professionally garnish more or less complex data so it becomes savoury and easily digestible in an interactive way is a special dish in the media informatics fields so we discussed techniques and observations during lectures and workshops at university.
The final workshop unit was a Do-it-yourself go-out-and-map-something excercise, raising the questions of What and How seemlessly implicating the Why.
Agenda Item #1: We need an idea.
After some hours of windless Brainstorming we decided that the most productive way of getting it done would be machine based managed fluke which led us to gambling with the one-armed bandit - the professional term for this brainstorming technique is semantic intuition.
To give a machine the opportunity of feeding us with a initial idea we tinkered a program which kind of randomly displays a 2 word mash of limited media based vocabulary. It's primary function was the suggestion to map X on Y.
The most interessting suggestion (among a lot of weird ones) was to map Emotions on Film.
